Housing Cooperative Institution — Parameter Explorer

Sliders adjust “fundamental parameters” that correspond to the institution’s relations (participation, reserves, inclusion supports, training, rule clarity, mediation capacity, etc.). The simulator runs Monte Carlo draws and shows probability distributions for key outcomes (fee spikes, deferred maintenance, conflict escalation, diversity, mission drift, and governance legitimacy).

Parameters

Samples: 8000
Higher means more members can attend meetings/committees (reduces legitimacy risk & burnout).
Clear rules, appeals, and documentation reduce destructive conflict and improve legitimacy.
Captures “education/training” principle: onboarding, handovers, facilitation, finance literacy.
Translation, childcare supports, accessible governance formats, reasonable adjustments.
Higher reserves reduce fee spikes and deferred maintenance when capital repairs hit.
Higher means roofs/heating/lifts are nearer end-of-life (more stress on budgets & governance).
Higher means conflicts can move through informal→facilitation→mediation instead of sanction escalation.
Higher means more meetings/admin load. Raises burnout and participation inequality unless offset.
Higher means stronger resale restrictions/subsidy retention (helps long-run affordability, reduces conversion).
Higher means surrounding prices/incentives to “go market” are stronger (mission drift risk rises).
Model note: this is a probabilistic proxy for the institution constraints. Sliders influence latent variables that approximate relations like ReserveAdequate, DueProcess, Mediated, DiverseMembership, etc.

Outcome probability distributions

lower risk / better mixed higher risk / worse

Fee spike

Deferred maintenance

Conflict escalation to sanctions

High diversity outcome

Mission drift / conversion

Governance legitimacy

Interpreting charts: each histogram shows the distribution of the simulated probability of that outcome given your parameters. The “mean” is the expected probability; the interval shows uncertainty from unobserved factors (noise + interactions).